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History Matching of Electromagnetically Heated Reservoirs Incorporating Full-Wavefield Seismic and Electromagnetic Imaging

Authors
Klemens Katterbauer (King Abdullah University of Science and Technology) | Ibrahim Hoteit (King Abdullah University of Science and Technology) | Shuyu Sun (King Abdullah University of Science and Technology)
DOI
https://doi.org/10.2118/173896-PA
Document ID
SPE-173896-PA
Publisher
Society of Petroleum Engineers
Source
SPE Journal
Volume
20
Issue
05
Publication Date
October 2015
Document Type
Journal Paper
Pages
923 - 941
Language
English
ISSN
1086-055X
Copyright
2015.Society of Petroleum Engineers
Disciplines
Keywords
history matching, Maxwell's equation, seismic wave propagation, electromagnetic heating, EnKF
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0 in the last 30 days
320 since 2007
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SPE Non-Member Price: USD 30.00

Summary

Electromagnetic (EM) heating is becoming a popular method for heavy-oil recovery because of its cost-efficiency and continuous technological improvements. It exploits the relationship that the viscosity of hydrocarbons decreases for increasing temperature; the heavy-oil components become more fluid-like, and hence easier to extract from the reservoir. Although several field studies have considered the effects of heating on the viscosity of the hydrocarbons, there has been very little research on the long-term effects of field production and the forecasting of the development of the reservoir. Increased flow rates within the reservoir render the moving fluids less viscous, implying fast-changing fluid-propagation patterns and increased uncertainty about the state of the oil displacement. This means, in the long term, strongly varying production projections, strong dependence on the permeability of the reservoir, and potentially undesirable fluid migration. To improve the forecasting of production in heavy-oil fields and to accurately capture the dynamics of the fluid movements, we present a history-matching framework incorporating well data and seismic and EM crosswell-imaging techniques. The incorporation of seismic and EM data into the history-matching process counteracts the changing reservoir dynamics caused by increased fluid velocity caused by heating and is shown to significantly improve reservoir matching and forecasts for a variety of different heating scenarios.

File Size  3 MBNumber of Pages   19

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